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OPTIVEUM sp. z o.o.

Senior Data Engineer (Databricks)

OPTIVEUM sp. z o.o. Łódź, Łódź Voivodeship, Poland · PLN 281K/yr

Outsourcing and Offshoring Consulting · 2-10 employees

4 h ago
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

You will design, develop, and support enterprise data solutions using Databricks while collaborating with stakeholders to deliver scalable data platforms. Additionally, you will maintain data models, optimize platform performance, and mentor junior engineers.

What they look for

Databricks PySpark SQL Data Engineering ETL Data Modeling Azure Data Lake Azure Data Factory Cloud Architecture CI/CD Data Governance Agile Performance Optimization Data Warehousing

Requirements

Candidates must have strong experience with Databricks, PySpark, and advanced SQL, along with expertise in cloud data technologies like Azure. Proficiency in data modeling, ETL processes, and working within Agile delivery teams is required.

Full description

Senior Data Engineer (Databricks)

About the Offer

We are currently looking for a Senior Data Engineer with Databricks experience to join the Risk Technology team of our client. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.

You will design, develop and support enterprise data solutions using Databricks, working closely with business and technology stakeholders to deliver scalable, high-quality data platforms and analytics capabilities.

Key Details:

  • Rate: up to 135 PLN/h (B2B)
  • Work Model: 100% remote from Poland, with occasional visits to the office in Poznań or Wrocław, full-time (40h/week)
  • Languages: Polish and English (advanced)

Responsibilities:

  • Design and build data pipelines using Databricks, PySpark and SQL
  • Develop and maintain data models, ETL processes and reporting datasets
  • Optimise data quality, performance and scalability across the platform
  • Collaborate with business users, analysts and developers to deliver data-driven solutions
  • Support cloud-based data architecture, CI/CD and data governance initiatives
  • Mentor junior engineers and promote engineering best practices

Requirements:

  • Strong experience with Databricks and PySpark
  • Advanced SQL and data warehousing expertise
  • Experience with Azure Data Lake, Azure Data Factory or similar cloud data technologies
  • Knowledge of data modelling, ETL/ELT and performance optimisation
  • Experience working in Agile delivery teams
  • Advanced Polish and English

Nice to Have:

  • Experience within Financial Services, Risk, Regulatory or ESG technology environments
  • Exposure to Power BI, Python, DevOps and cloud-native architectures

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